Algorithm for automatic removal of static weather phenomena based on a bilateral filter
German Evgenievich Edel, Marina Evgenievna Sukutnova · The Herald of the Siberian State University of Telecommunications and Information Science · 2024
This article is devoted to the preprocessing of images obtained in poor visibility conditions. Phenomena such as fog or haze can significantly reduce the accuracy of neural networks designed to detect objects. Thus, preventing systems based on computer vision from functioning normally. In this work, an algorithm was implemented for automatic removal of static weather phenomena based on a bilateral filter. The algorithm was tested on a neural network trained to recognize road signs.